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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 A Local Learning Approach for Clustering NeurIPS 2006 Analysis of Contour Motions NeurIPS 2006 Analysis of Representations for Domain Adaptation NeurIPS 2006 An Approach to Bounded Rationality NeurIPS 2006 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 A new inlier identification scheme for robust estimation problems RSS 2006 A Nonparametric Approach to Bottom-Up Visual Saliency NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006 An Oracle Inequality for Clipped Regularized Risk Minimizers NeurIPS 2006 A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NeurIPS 2006 A PAC-Bayes Risk Bound for General Loss Functions NeurIPS 2006 Approximate Correspondences in High Dimensions NeurIPS 2006 Approximate inference using planar graph decomposition NeurIPS 2006 A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data NeurIPS 2006 A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006 A Scalable Machine Learning Approach to Go NeurIPS 2006 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006 A Small World Threshold for Economic Network Formation NeurIPS 2006 Attentional Processing on a Spike-Based VLSI Neural Network NeurIPS 2006 Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NeurIPS 2006 A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis JMLR 2006 Balanced Graph Matching NeurIPS 2006 Bayesian Ensemble Learning NeurIPS 2006 Bayesian Model Scoring in Markov Random Fields NeurIPS 2006